KTU-GEOD IVS Analysis Center Biennial Report (2017-2018)2018/... · 2019. 12. 26. · KTU-GEOD...
Transcript of KTU-GEOD IVS Analysis Center Biennial Report (2017-2018)2018/... · 2019. 12. 26. · KTU-GEOD...
-
KTU-GEOD IVS Analysis Center Biennial Report (2017-2018)
Emine Tanır Kayıkçı 1, Kamil Teke 2, Mehmet Fikret Öcal 2, Özge Karaaslan 1
Abstract This report summarizes the activities of theKTU-GEOD IVS Analysis Center (AC) in 2017 and2018 and outlines the planned activities for the years2019 and 2020. Accuracy improvement of UT1-UTCthrough using a priori GNSS troposphere gradientswhen analyzing VLBI observations of Intensives wasour specific interest in this period.
1 General Information
In 2018, a research project related to accuracy improve-ment of UT1-UTC determination from IVS [1] Inten-sive sessions was successfully finalized. This projectalso constitutes one of the main parts of the MSc the-sis of Mr. Mehmet Fikret Öcal [2]. He successfullydefended his MSc thesis under the supervision of Dr.Kamil Teke on 31 May 2019 (see Figure 1).
The Geodesy Lab at Hacettepe University wasequipped with two high-performance workstationsrunning on Linux (Ubuntu 16.04, LTS: Long TermSupport) that are dedicated to VLBI and GNSS auto-matic analysis. The analyses on these workstations areperformed automatically using VieVS (Vienna VLBIand Satellite Software, [3]) and Bernese Software[4]. Automatic analyses are carried out on a dailybasis, and corresponding products are published on theHacettepe University Web servers [5].
1. Karadeniz Technical University, Department of GeomaticsEngineering2. Hacettepe University, Department of Geomatics Engineering
KTU-GEOD Analysis Center
IVS 2017+2018 Biennial Report
Fig. 1 A photo after the successful defense of Mehmet FikretÖcal’s MSc thesis with the examiners.
2 Staff at KTU-GEOD Contributing to theIVS Analysis Center
Members of KTU-GEOD IVS Analysis Center (AC)are listed in Table 1 (in alphabetical order) with theirmain focus of research and work location [6, 7]:
3 Current Status and Activities
During the report period, we focused on accuracyimprovement of UT1-UTC determination from theanalysis of IVS Intensive sessions using a prioriGNSS troposphere gradients. IVS suggested ananalysis procedure that covers the estimation of theazimuthally symmetric part of the troposphere delays(i.e., zenith wet delay [ZWD] and zenith hydrostatic
217
-
218 Tanır et al.
Table 1 Staff of the KTU-GEOD Analysis Center.
Name Work Location Main Focusof Research
EmineTanırKayıkçı
Karadeniz Technical Univ., responsible personDept. of Geomatics Eng., for AC, parameterTrabzon, Turkey. combination
KamilTeke
Hacettepe Univ.,troposphereDept. of Geomatics Eng.,
Ankara, Turkey.MehmetFikretÖcal
Hacettepe Univ., data analysis,signal processingDept. of Geomatics Eng.,
Ankara, Turkey.
ÖzgeKaraaslan
Karadeniz Technical Univ., data analysis,Dept. of Geomatics Eng., parameterTrabzon, Turkey. estimation
delay [ZHD]). However, according to IVS standardanalysis procedure, troposphere gradients, whichhave significant effect on UT1 determination, arenot estimated [8]. The International GNSS Service(IGS) [9] is providing troposphere gradients fromthe analysis of GNSS observations for five minuteintervals from 01.01.2008 onward with three weekslatency through FTP archives. We reduce tropospheregradients derived from the observations of GNSS sitesco-located with VLBI stations from the observationsof Intensives a priori to the parameter estimation.We have tested two different analysis strategies inaddition to IVS standard analysis (A1): analysis-2(A2) reduces troposphere east and north gradientsfrom the observations, and analysis-3 (A3) estimatestroposphere gradients additionally to A2. Thus, weanalyzed all IVS Intensive sessions (INT1, INT2,and INT3) with three different analysis strategies aswell as IVS-R1 and IVS-R4 sessions as a referenceUT1-UTC series (see Figure 2) from the beginningof 2008 to the end of 2018. Statistical comparisonsbetween the estimates of the Intensives (A1, A2, andA3) and standard sessions (IVS-R1 and IVS-R4) overweighted-root-mean-square (WRMS) of differences(see Table 2) showing slight differences led us toevaluate our new analysis methods over length-of-day(LOD) variations instead of UT1.
The IGS analysis centers, such as ESA/ESOC,NASA/JPL, and NOAA/NGS, are publishing Length-of-day (LOD) estimates online. LOD observations ofGNSS are assumed to be more accurate than thoseof VLBI [9]. Thus, our LOD values calculated from
RAEGYEB
BADARY
FORTLEZA
SEJONG
HART15M
HARTRAO
URUMQI
WARK12M
KATH12M
KOKEE
MATERA
MMEDICINA
KASHIM34
NYALES20
ONSALA60
SESHAN25
SVETLOE
TIGOCONC
TSUKUB32
(ISHIOKA)WESTFORD
WETTZELL
YARRA12M
ZELENCHK
Fig. 2 VLBI stations mostly participating in IVS-R1 and -R4sessions (black squares) as well as Intensives (red dots). INT1,INT2, and INT3 baseline vectors are plotted as purple, blue(dashed) and red lines, respectively.
Table 2 WRMS of differences of UT1 estimates from INT1 ses-sions and from R1 and R4 sessions.
Analysis WRMS of UT1 differences in µsINT1 Sessions (548 UT1 pairs)StandardUT1(A1)-R1R4 ±38.0
NewUT1(A2)-R1R4 ±37.7NewUT1(A3)-R1R4 ±38.8
UT1 estimates of IVS Intensives are compared withthe LOD provided by the IGS analysis centers. Thesecomparisons, as seen in Table 3, show that our analysisstrategies, especially A2, improve the UT1-UTCestimation accuracy from IVS Intensive sessions byabout 2–3 µs/day.
Table 3 WRMS differences of the LOD estimates of the analysiscenters ESA(ESOC), NASA(JPL), and NOAA(NGS) with INT1sessions in µs/day. Analysis-1, Analysis-2, and Analysis-3 serieshave the same epochs (1,610 values considered).
StandardUT1(A1) NewUT1(A2) NewUT1(A3)ESA/ESOC ± 34.2 ± 31.6 ± 33.7NASA/JPL ± 36.9 ± 34.1 ± 36.2NOAA/NGS ± 37.6 ± 35.6 ± 36.6
IGS troposphere zenith signal delays and gradientshave been determined at five minute intervals from theanalysis of the observations of hundreds of GNSS sta-tions around the world with the PPP technique [10] us-
IVS 2017+2018 Biennial Report
-
KTU-GEOD Biennial Report (2017–2018) 219
ing modified Bernese software [4] by the GNSS anal-ysis center at the United States Naval Observatory(USNO) every day from July of 2011. Besides, westarted to produce GNSS troposphere delays and gra-dients using the Bernese software with similar analysisparametrization in the scope of our research project.
4 Future Plans
In 2019 and 2020, we will be working on testing theaccuracy of UT1-UTC that is observed by IVS Inten-sives. We will use our own GNSS troposphere delay es-timates for incorporation into the analysis of Intensivesessions in addition to those of IGS. This will give usthe ability to compare our troposphere gradients withthose derived from IGS. A new subroutine for produc-ing troposphere delays from PPP observation modelas an alternative to Bernese software is planned to bebuilt.
Acknowledgements
We are thankful to all the governing board of IVS.We are grateful to Karadeniz Technical University,Hacettepe University, and TU Wien for provid-ing financial, technical and/or scientific support toKTU-GEOD IVS AC research activities.
References
1. H. Schuh, D. Behrend, VLBI: a fascinating technique forgeodesy and astrometry, J. Geodyn, 61, 68–80, 2012.
2. M. F. Öcal, Accuracy Assessment of Polar Motion and Uni-versal Time (UT1) Observed by VLBI at Sub-Diurnal Peri-ods, MSc Thesis, Hacettepe University, 2019.
3. J. Böhm, S. Böhm, J. Boisits, A. Girdiuk, J. Gruber,A. Hellerschmied, H. Krásná, D. Landskron, M. Madzak,D. Mayer, J. McCallum, L. McCallum, M. Schartner,K. Teke, Vienna VLBI and Satellite Software (VieVS) forGeodesy and Astrometry, Publications of the AstronomicalSociety of the Pacific, 130, 044503, 2018.
4. R. Dach, S. Lutz, P. Walser, P. Fridez (eds), Bernese GNSSSoftware Version 5.2, Astronomical Institute, University ofBern, 2015.
5. URL 1: http://yunus.hacettepe.edu.tr/vlbi, Date of Access:June 2019.
6. URL 2: http://www.ktu.edu.tr/spacegeod, Date of Access:June 2019.
7. URL 3: http://vlbi.hacettepe.edu.tr/en, Date of Access: June2019.
8. K. Teke, J. Böhm, M. Madzak, Y. Kwak, P. Steigenberger,GNSS zenith delays and gradients in the analysis of VLBIIntensive sessions, Adv. Space Res., 56, 8, 1667–1676, 2015.
9. J.M. Dow, R.E. Neilan, C. Rizos, The International GNSSService in a changing landscape of Global Navigation Satel-lite Systems, J. Geod, 83, 3–4, 191–198, 2009.
10. J. Zumberge, M. Heflin, D. Jefferson, M. Watkins, M. Web,Precise point positioning for the efficient and robust analysisof GPS data from large networks, J. Geophys. Res., 102,5005–5017, 1997.
IVS 2017+2018 Biennial Report